{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "959e9e1e",
   "metadata": {},
   "source": [
    "* 2023-9-11"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be62fdf7",
   "metadata": {},
   "source": [
    "# week02 - Python编译环境入门\n",
    "## 1. Anaconda安装注意\n",
    ">> 1.系统变量与环境变量认知   \n",
    ">> 2.Anaconda安装成功标志：在cmd中输入conda显示如下图片\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b843d9b",
   "metadata": {},
   "source": [
    "## 2. 编译环境理解\n",
    ">> 1.cmd中运行Python,shell脚本测试code  \n",
    ">> 2.IDLE：Python自带的纯Python集成开发环境  \n",
    ">> 3.数据科学、交互式集成开发环境Jupyter notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01d0117e",
   "metadata": {},
   "source": [
    "## 3. 如何在电脑中运行Jupyter notebook\n",
    ">> 1.打开cmd  \n",
    ">> 2.进入自己选择的硬盘，例如：d: 进入D盘  \n",
    ">> 3.输入jupyter notebook即可选择浏览器打开"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3cbb81d",
   "metadata": {},
   "source": [
    "## 4. jupyter notebook 注意事项\n",
    ">> 1.不小心关了浏览器，在cmd找到链接   \n",
    ">> 2.不小心关了cmd ，不要慌 ，重新打开cmd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "95239756",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello jupyter notebook!\n"
     ]
    }
   ],
   "source": [
    "print(\"hello jupyter notebook!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "317f1062",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
